切削參數自主優化系統及其加工應用

Automatic Optimization System for Cutting Parameters and Its Application

蔡淳宇 ； 馬勝銘 ； 吳偉任 ； 戴仲裕 ； 彭達仁

《機械工業雜誌》 440期 (2019/11) Pp. 38-45

摘要

根據我國5+2產業的智慧製造政策發展，製造產業正從傳統機械化逐步轉型為自動化與智慧化。產品市場的客製化與稀有化商品需求提升，製造產線亦隨之轉為少量多樣與混線生產模式，製造效率與加工品質要求漸漸提高，導致傳統倚靠人工打樣、監控與除錯的製造效率不足以應付需求。本文將提出一套針對金屬銑削製程打樣的自主參數決策系統，透過解析刀具與工件的物理特性，以及收集線上實際切削資料進行分析，系統將自動輸出一組基於切削品質最穩定的最快製程參數，用以協助加工者快速得到最穩且最快的製程參數，提升快速打樣快速量產之生產趨勢。

關鍵字

自主決策 ； 製程優化 ； 銑削加工 ； 鑽削加工

並列摘要

According to the development of 5+2 industry innovation plan in Taiwan, the manufacturing industry is gradually transforming from the traditional machinery industry to automation and intelligence. Demands for customized products and rare commodities have increased, and the manufacturing line has also been transformed into low volume and high variability mode. The manufacturing efficiency and high processing quality requirements are gradually increasing. Traditional manufacturing relying on manual prototyping, monitoring and debugging is inefficient. As such, in this article, we propose an autonomous decision making system based on experimental determination for the milling process to optimize machining parameters. By analyzing the physical characteristics of the tool and the work-piece and collecting on-line cutting data, the system will automatically output the fastest process parameters based on the stable cutting quality. The method is used to assist operators to quickly obtain the most stable and fastest process parameters. Therefore, the result can increase the efficiency of manufacturing and the mass production.

並列關鍵字

Autonomous decision making ； Process optimization ； Milling ； Drilling